TY - GEN
T1 - Multi-Techno-Band Cellular Network Resilience to Shocks and Aging
T2 - 2025 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025
AU - Courtillat-Piazza, Ludmila
AU - Coupechoux, Marceau
AU - Quinton, Sophie
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - While the resilience of networks facing disasters or brutal disturbances has emerged as a priority recently, especially since the COVID-19 pandemic, network resilience to continuous phenomena on a larger time scale still receive little attention. Yet, modeling and assessing the cumulative effect of long-term wear on a network would represent a key ingredient for understanding and planning network evolution. This article introduces a mobile network model allowing multiple technologies and bands (multi-TB) at a single base station (BS) based on stochastic geometry, and studies the resilience of such a network in front of shocks, or of its own aging process. Resilience metrics based on Signal to Interference plus Noise Ratio (SINR) and user data rate coverage probabilities are introduced and derived analytically. Numerical experiments show the influence of parameters such as load, BS density and the number of TB on network resilience.
AB - While the resilience of networks facing disasters or brutal disturbances has emerged as a priority recently, especially since the COVID-19 pandemic, network resilience to continuous phenomena on a larger time scale still receive little attention. Yet, modeling and assessing the cumulative effect of long-term wear on a network would represent a key ingredient for understanding and planning network evolution. This article introduces a mobile network model allowing multiple technologies and bands (multi-TB) at a single base station (BS) based on stochastic geometry, and studies the resilience of such a network in front of shocks, or of its own aging process. Resilience metrics based on Signal to Interference plus Noise Ratio (SINR) and user data rate coverage probabilities are introduced and derived analytically. Numerical experiments show the influence of parameters such as load, BS density and the number of TB on network resilience.
KW - Resilience
KW - cellular network
KW - multi-techno-band
KW - stochastic geometry
UR - https://www.scopus.com/pages/publications/105017957991
U2 - 10.1109/INFOCOMWKSHPS65812.2025.11152902
DO - 10.1109/INFOCOMWKSHPS65812.2025.11152902
M3 - Conference contribution
AN - SCOPUS:105017957991
T3 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025
BT - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 May 2025
ER -